Summary of Xtraffic: a Dataset Where Traffic Meets Incidents with Explainability and More, by Xiaochuan Gou et al.
XTraffic: A Dataset Where Traffic Meets Incidents with Explainability and Moreby Xiaochuan Gou, Ziyue Li,…
Summary of Aigc For Industrial Time Series: From Deep Generative Models to Large Generative Models, by Lei Ren et al.
AIGC for Industrial Time Series: From Deep Generative Models to Large Generative Modelsby Lei Ren,…
Summary of Multi-channel Masked Autoencoder and Comprehensive Evaluations For Reconstructing 12-lead Ecg From Arbitrary Single-lead Ecg, by Jiarong Chen et al.
Multi-Channel Masked Autoencoder and Comprehensive Evaluations for Reconstructing 12-Lead ECG from Arbitrary Single-Lead ECGby Jiarong…
Summary of A Meta-learning Approach For Multi-objective Reinforcement Learning in Sustainable Home Environments, by Junlin Lu et al.
A Meta-Learning Approach for Multi-Objective Reinforcement Learning in Sustainable Home Environmentsby Junlin Lu, Patrick Mannion,…
Summary of An Ai System For Continuous Knee Osteoarthritis Severity Grading Using Self-supervised Anomaly Detection with Limited Data, by Niamh Belton and Aonghus Lawlor and Kathleen M. Curran
An AI System for Continuous Knee Osteoarthritis Severity Grading Using Self-Supervised Anomaly Detection with Limited…
Summary of Diff-mts: Temporal-augmented Conditional Diffusion-based Aigc For Industrial Time Series Towards the Large Model Era, by Lei Ren et al.
Diff-MTS: Temporal-Augmented Conditional Diffusion-based AIGC for Industrial Time Series Towards the Large Model Eraby Lei…
Summary of Reasoning with Large Language Models, a Survey, by Aske Plaat et al.
Reasoning with Large Language Models, a Surveyby Aske Plaat, Annie Wong, Suzan Verberne, Joost Broekens,…
Summary of Lrq: Optimizing Post-training Quantization For Large Language Models by Learning Low-rank Weight-scaling Matrices, By Jung Hyun Lee et al.
LRQ: Optimizing Post-Training Quantization for Large Language Models by Learning Low-Rank Weight-Scaling Matricesby Jung Hyun…
Summary of Ensemble Transport Filter Via Optimized Maximum Mean Discrepancy, by Dengfei Zeng and Lijian Jiang
Ensemble Transport Filter via Optimized Maximum Mean Discrepancyby Dengfei Zeng, Lijian JiangFirst submitted to arxiv…
Summary of Counting in Small Transformers: the Delicate Interplay Between Attention and Feed-forward Layers, by Freya Behrens et al.
Counting in Small Transformers: The Delicate Interplay between Attention and Feed-Forward Layersby Freya Behrens, Luca…